Triple
T22601144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ILG |
E574819
|
entity |
| Predicate | locationIdentifierType |
P134880
|
FINISHED |
| Object | three-letter FAA identifier |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: three-letter FAA identifier | Statement: [ILG, locationIdentifierType, three-letter FAA identifier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationIdentifierType Context triple: [ILG, locationIdentifierType, three-letter FAA identifier]
-
A.
locationOfFacility
Indicates that a facility is situated at or associated with a specific geographic location.
-
B.
propertyLocation
Indicates the geographical place or address where a property is situated or found.
-
C.
locationProperty
Indicates that one entity specifies or characterizes a locational attribute or spatial property of another entity.
-
D.
locationOfEstablishment
Indicates the place or area where an establishment is situated or operates.
-
E.
subjectLocationType
chosen
Indicates the type or category of location associated with the subject in the relationship.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1626db69481908ec9f9c7d320d3cb |
completed | April 29, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:50 p.m.